Afshin Bozorgpour

Computer Vision and Pattern Recognition · 2022

A researcher in the Science corpus: 1 paper; trusts 26 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Afshin Bozorgpour trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Kaiming He
  2. Geoffrey E. Hinton

Papers from Afshin Bozorgpour's perspective

Ordered by how strongly the researchers Afshin Bozorgpour trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. Attention is All you Need (Neural Information Processing Systems)
  3. ImageNet classification with deep convolutional neural networks
  4. Fully convolutional networks for semantic segmentation
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Densely Connected Convolutional Networks
  7. U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
  8. ImageNet: A large-scale hierarchical image database
  9. Gradient-based learning applied to document recognition
  10. Layer Normalization

Their papers